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The use of meta-surfaces in vehicular networks
CNR-IEIIT, Italy.
Universidade Federal de São João Del-Rei, Brazil.
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.
2020 (English)In: Journal of Sensor and Actuator Networks, E-ISSN 2224-2708, Vol. 9, no 1, article id 15Article in journal (Refereed) Published
Abstract [en]

Mobility as a service is becoming a new paradigm in the direction of travel planning on the basis of the best service offered by the travelled roads. Hence, the environment in which people move will become smarter and more and more connected to grant services along the whole path. This opens new challenges related not only to the on board connectivity and wireless access technologies, but also on the reliability and efficiency of the surrounding environment. In this context, reconfigurable meta-surfaces play a crucial role, since they can be used to coat buildings, vehicles or any other suitable surfaces and let the environment become an active part of the communication system by opportunistically redirecting (i.e., reflecting, without generating new waves) signals to the target receivers. The objective of this paper is to highlight the limits of current wireless access technologies for vehicular scenarios and to discuss the potential impact of a smart environment made of reconfigurable meta-surfaces on some next generation vehicular use cases, such as cooperative driving and vulnerable road users (VRUs) detection. In addition, a preliminary model is presented to derive, in a simplified way, the performance of an IEEE 802.11p network in terms of collision probability. Even if analytical and based on simplified assumptions, this model has been validated through simulations and allows to compare the performance of the network with and without reconfigurable meta-surfaces.

Place, publisher, year, edition, pages
MDPI AG , 2020. Vol. 9, no 1, article id 15
Keywords [en]
Collision probability, Connected vehicles, Cooperative driving, Reconfigurable meta-surface, Smart environment, Vulnerable road user detection
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:mdh:diva-47427DOI: 10.3390/jsan9010015ISI: 000525258000012Scopus ID: 2-s2.0-85081677621OAI: oai:DiVA.org:mdh-47427DiVA, id: diva2:1417071
Available from: 2020-03-26 Created: 2020-03-26 Last updated: 2020-06-09Bibliographically approved

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Balador, Ali

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